Founding Platform Engineer
Weekday AI (company site, opens in a new tab)5+ yrsDelhi NCROn-siteDirect career pageEst. 18–35 LPA
Posted 1d ago
Reach people at Weekday AI
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Weekday AI you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Architect, build, and operate scalable, secure cloud infrastructure primarily on AWS supporting large-scale AI applications.
- Own deployment, monitoring, scaling, and operational reliability of mission-critical production ML systems, including GPU-based and inference workloads.
- Lead site reliability engineering including observability, incident management, automation, and infrastructure security for highly available, high-concurrency systems.
Minimum Requirements
- 5+ years hands-on experience in Site Reliability Engineering, DevOps, Infrastructure or Platform Engineering.
- Direct ownership of at least one mission-critical, production-grade ML system.
- Strong expertise with AWS cloud infrastructure, Kubernetes, Docker, Terraform or AWS CDK, and CI/CD pipelines.
- Work Experience Required: 5+ years
Ideal Candidate Profile
- Experienced in architecting infrastructure for production ML inference workloads, including GPU infrastructure and LLM model-serving.
- Proven track record operating low-latency, high-availability distributed systems at scale within fast-paced startup or AI/ML product environments.
- Strong SRE mindset with ability to independently troubleshoot and manage critical production incidents and infrastructure reliability.